AINeutralarXiv – CS AI · 8h ago6/10
🧠
Biological Plausibility and Representational Alignment of Feedback Alignment in Convolutional Networks
Researchers demonstrate that modified feedback alignment (FA) algorithms can train convolutional neural networks while maintaining biological plausibility, with internal representations converging to structures similar to backpropagation despite using fundamentally different weight update mechanisms. This finding suggests that successful learning algorithms may achieve comparable results through different computational paths, bridging biologically plausible alternatives with practical neural network training.